Ultrasonic inspection of lithium-ion batteries to determine state of charge, state of health, and battery safety

The Journal of the Acoustical Society of America ◽

10.1121/1.5136756 ◽

2019 ◽

Vol 146 (4) ◽

pp. 2816-2817

Author(s):

Tyler McGee ◽

Erik Archibald ◽

Ofodike A. Ezekoye ◽

Michael R. Haberman

Keyword(s):

Lithium Ion Batteries ◽

Charge State ◽

Ultrasonic Inspection ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health ◽

Download Full-text

The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2017.2751613 ◽

2018 ◽

Vol 67 (1) ◽

pp. 92-103 ◽

Author(s):

Ping Shen ◽

Minggao Ouyang ◽

Languang Lu ◽

Jianqiu Li ◽

Xuning Feng

Keyword(s):

Lithium Ion Batteries ◽

Charge State ◽

Electric Vehicles ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health

Download Full-text

A Novel Multi-scale Co-estimation Framework of State of Charge, State of Health, and State of Power for Lithium-Ion Batteries

DEStech Transactions on Environment Energy and Earth Science ◽

10.12783/dteees/iceee2018/27824 ◽

2019 ◽

Author(s):

Xiaosong Hu ◽

Haifu Jiang ◽

Fei Feng ◽

Changfu Zou

Keyword(s):

Lithium Ion Batteries ◽

Charge State ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health ◽

Multi Scale ◽

Download Full-text

State of Charge, State of Health and State of Function Co-Estimation of Lithium-Ion Batteries for Electric Vehicles

2016 IEEE Vehicle Power and Propulsion Conference (VPPC) ◽

10.1109/vppc.2016.7791782 ◽

2016 ◽

Author(s):

Ping Shen ◽

Minggao Ouyang ◽

Languang Lu ◽

Jianqiu Li

Keyword(s):

Lithium Ion Batteries ◽

Charge State ◽

Electric Vehicles ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health

Download Full-text

State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries Based on Dual Fractional-Order Extended Kalman Filter and Online Parameter Identification

IEEE Access ◽

10.1109/access.2021.3068813 ◽

2021 ◽

pp. 1-1

Author(s):

Liuyi Ling ◽

Ying Wei

Keyword(s):

Kalman Filter ◽

Parameter Identification ◽

Lithium Ion Batteries ◽

Extended Kalman Filter ◽

Fractional Order ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health

Download Full-text

A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries

International Journal of Circuit Theory and Applications ◽

10.1002/cta.3115 ◽

2021 ◽

Author(s):

Jialu Qiao ◽

Shunli Wang ◽

Chunmei Yu ◽

Weihao Shi ◽

Carlos Fernandez

Keyword(s):

Lithium Ion Batteries ◽

Kalman Filtering ◽

Lithium Ion ◽

State Of Charge ◽

Least Square ◽

State Of Health ◽

Recursive Least Square ◽

Extended Kalman Filtering ◽

Filtering Method ◽

Bias Compensation

Download Full-text

Estimation of State of Charge and State of Health of Lithium‐Ion Batteries Based on a New Adaptive Nonlinear Observer

Advanced Theory and Simulations ◽

10.1002/adts.202100258 ◽

2021 ◽

pp. 2100258

Author(s):

Rajakumar Sakile ◽

Umesh Kumar Sinha

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

State Of Charge ◽

Nonlinear Observer ◽

State Of Health

Download Full-text

Monitoring State of Health and State of Charge of Lithium-Ion Batteries Using Machine Learning Techniques

10.1109/catcon52335.2021.9670522 ◽

2021 ◽

Author(s):

Ayush Varshney ◽

Aman Singh ◽

Alka Ann Pradeep ◽

Anu Joseph ◽

Gopakumar P

Keyword(s):

Machine Learning ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

State Of Charge ◽

Machine Learning Techniques ◽

State Of Health ◽

Learning Techniques

Download Full-text

State of Charge and State of Health Estimation of Lithium-Ion Batteries

2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging (SIITME) ◽

10.1109/siitme.2018.8599196 ◽

2018 ◽

Author(s):

Attila Buchman ◽

Claudiu Lung

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health

Download Full-text

Robust Estimation for State-of-Charge and State-of-Health of Lithium-Ion Batteries Using Integral-Type Terminal Sliding-Mode Observers

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2019.2916389 ◽

2020 ◽

Vol 67 (5) ◽

pp. 4013-4023 ◽

Author(s):

Yong Feng ◽

Chen Xue ◽

Qing-Long Han ◽

Fengling Han ◽

Jiacheng Du

Keyword(s):

Lithium Ion Batteries ◽

Robust Estimation ◽

Sliding Mode ◽

Lithium Ion ◽

State Of Charge ◽

State Of Health ◽

Integral Type ◽

Terminal Sliding Mode ◽

Sliding Mode Observers

Download Full-text

Diagnostics and Prognostics of Lithium-Ion Batteries

Volume 2A: 41st Design Automation Conference ◽

10.1115/detc2015-46935 ◽

2015 ◽

Author(s):

Zhimin Xi ◽

Rong Jing ◽

Cheol Lee

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

Remaining Useful Life ◽

State Of Charge ◽

Data Driven ◽

State Of Health ◽

Li Ion Batteries ◽

Battery State Of Charge ◽

Li Ion ◽

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.

Download Full-text